Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent.
Timothy J. O'SheaT. Charles ClancyPublished in: CoRR (2016)
Keyphrases
- reinforcement learning
- signal detection
- action selection
- multi agent
- control problems
- control policy
- optimal control
- learning agent
- autonomous learning
- learning agents
- partially observable
- function approximation
- state space
- state abstraction
- control strategies
- exploration strategy
- state action
- reinforcement learning agents
- action space
- adaptive control
- control policies
- learning capabilities
- reward function
- multiagent systems
- reward signal
- multi agent systems
- optimal policy
- autonomous agents
- control system
- reinforcement learning algorithms
- transfer learning
- multiagent reinforcement learning
- multi agent environments
- robot control
- markov decision process
- markov decision processes
- temporal difference
- intelligent agents
- low signal to noise ratio
- control strategy
- rl algorithms
- single agent
- learning algorithm
- dynamic programming
- partially observable domains
- model free
- agent learns
- direct policy search
- weak signal
- robocup soccer
- wireless networks
- reward shaping
- state and action spaces
- dynamic environments
- multiple agents
- learning problems
- learning process
- continuous state
- function approximators